Top-25 frequently asked data science interview questions and answers on Statistics for fresher and experienced Data Scientist, Data analyst, statistician, and machine learning engineer job role.

Let’s see the interview questions.

1. What is the difference between inferential statistics and descriptive statistics?

Descriptive statistics describe the input data and provide initial findings for data. It will give the mean, median, standard deviation, etc. For example, the manager of a supermarket wants to see the waiting time for billing.

Inferential statistics allow us to make inferences from a smaller sample of data from the population. It is used when we have limited time, cost, and other constraints. For example, the LED bulb…


Top-25 frequently asked data science interview questions and answers on NLP and Text Mining for fresher and experienced Data Scientist, Data analyst, statistician, and machine learning engineer job role.

Data Science is an interdisciplinary field. It uses statistics, machine learning, databases, visualization, and programming. So in this sixth article, we are focusing on NLP and Text Mining questions.

Let’s see the interview questions.

1. What do you mean by natural language and computer language?

Natural language is a human language such as Hindi, English, and German. Designing computers that can understand natural languages is a challenging problem.

Computer language is a set of instructions that used to produce the desired output…


Central tendency stands for summary values in the data. It represents the central value for the whole dataset. It provides a single value instead of multiple values that are helpful to understand the system. For example, the average monthly sale is a good indicator of sales for any product.

Let's discuss the following central tendency measures.

  • Mean: Mean or arithmetic average is the ratio of the sum of observations to the total number of observations. for example, the mean of 6, 3, and 9 is (6+3+9)/3 = 18/3 = 6
  • Median: Median is the middle value of the entire data…

In this Python tutorial, explore movie data of popular streaming platforms and build a recommendation system.

Due to the new culture of Binge-watching TV Shows and Movies, users are consuming content at a fast pace with available services like Netflix, Prime Video, Hulu, and Disney+. Some of these new platforms, such as Hulu and YouTube TV, also offer live streaming of events like Sports, live concerts/tours, and news channels. Live streaming is still not adopted by some of the streaming platforms, such as Netflix.

Streaming platforms provide more flexibility to users to watch their favorite TV shows and movies, at…


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Top-15 frequently asked data science interview questions and answers on Data preprocessing for fresher and experienced Data Scientist, Data analyst, statistician, and machine learning engineer job role.

Data Science is an interdisciplinary field. It uses statistics, machine learning, databases, visualization, and programming. So in this fifth article, we are focusing on Data Preprocessing questions.

Originally published on https://machinelearninggeek.com/data-science-interview-questions-part-4-unsupervised-learning/


In this tutorial, you’ll learn how to build a chatbot using chatterbot in Python.

Are you tired of waiting in long queues for your call to be connected to the customer service executive? Does reading FAQ’s make you feel lethargic? Then you are on the right page. Can you remember the last time you communicated to a customer service agent via chat for the wrong item being delivered to you? There is a high probability that you were being communicated to by a bot rather than a customer service representative. So what exactly are bots? How do we build one…


Top-20 frequently asked data science interview questions and answers on Unsupervised Learning for fresher and experienced Data Scientist, Data analyst, statistician, and machine learning engineer job role.

Originally published on https://machinelearninggeek.com/data-science-interview-questions-part-4-unsupervised-learning/

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Data Science is an interdisciplinary field. It uses statistics, machine learning, databases, visualization, and programming. So in this fourth article, we are focusing on unsupervised learning questions.

Let’s see the interview questions.

1. What is clustering?

Clustering is unsupervised learning because it does not have a target variable or class label. Clustering divides s given data observations into several groups (clusters) or a bunch of observations based on certain similarities. …


Top-20 frequently asked data science interview questions and answers on c classification for fresher and experienced Data Scientist, Data analyst, statistician, and machine learning engineer job role.

Originally published on https://machinelearninggeek.com/data-science-interview-questions-part-3-classification/

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Data Science is an interdisciplinary field. It uses statistics, machine learning, databases, visualization, and programming. So in this third article, we are focusing on basic data science questions related to classification techniques.

Let’s see the interview questions.

1. What are precision and recall?

Precision is the percentage of the correct positive predictions from total predicted positives. In other words, we can say, the percentage of retrieved items is correct. It is a measure of exactness…


Top frequently asked data science interview questions(Regression Analysis) and answers for fresher and experienced Data Scientist job role.

Originally published on https://machinelearninggeek.com/data-science-interview-questions-part-2-regression-analysis/

https://machinelearninggeek.com/

Data Science is an interdisciplinary field. It uses statistics, machine learning, databases, visualization, and programming. So in this second article, we are focusing on basic data science questions related to Regression Analysis.

Avinash Navlani

Sr Data Scientist| Analytics Consulting | Data Science Communicator | Helping Clients to Improve Products & Services with Data

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